One of the most trending topics in the current technical world is artificial intelligence. It is not merely confined to modern software industries but has widely spread everywhere, including the Web3 industry.
Although the term has only recently become popular, the concept of artificial intelligence goes decades back to the 19th century. It was not simply one idea but multiple philosophies that later turned into different extensions of the artificial intelligence we know today.
In simple terms, artificial intelligence is a set of algorithms that help systems produce results without being explicitly programmed to do so. In its truest form, artificial intelligence has become an advanced concept that has become an umbrella term with several branches.
It holds great significance in the Web3 industry. With the upward trajectory of blockchain and crypto industries, the integration of artificial intelligence allows businesses to offer better services, create a security threshold in the decentralized world, and make it more welcoming to the masses.
What is Artificial Intelligence?
Artificial intelligence is an advanced concept defined as the ability of a digital system (e.g., computer) or computer-controlled robot to perform tasks mostly associated with humans or other intelligent beings.
Some researchers have also described artificial intelligence as:
- A smart entity created by humans, for humans.
- Capable of performing multiple tasks without being given definite instructions.
- Capable of acting humanely: rational and emotional.
In other words, the acumen demonstrated by machines is known as artificial intelligence. It is becoming increasingly popular for a wide variety of reasons, one being that it helps machines learn and mimic humans without direct instructions.
As the artificial intelligence-integrated machines perform the same tasks repeatedly, they learn information, retain it, and can then perform tasks by themselves, even when unattended.
The impact of artificial intelligence is only growing in the Web3 industry, with a considerable amount of the population making entire careers out of it. Since this is a modern concept, artificial intelligence jobs are mostly high-paying, ultimately helping individuals make a good living.
Best Paying Artificial Intelligence Jobs
Senior AI Product Manager
A great career option in the web3 AI sector is a Senior Product Manager, a technology professional who leads development, ongoing projects, and releases of AI-powered features or products. The Senior AI Product Managers mainly excel at product development, machine learning, artificial intelligence, and data science, all essential skills that put them at the top.
A Senior AI Product Manager is responsible for making smart and valuable decisions and finding effective solutions for complex problems. They are also great observers of user needs, which helps them make remarkable business impacts. They earn about $191,477 annually.
An experienced Senior AI Product Manager works closely with several other cross-functional teams at the organization, such as engineering, design, data science, and marketing. Together, these teams define product details, ensure a flawless product launch, and prioritize features based on customer demands.
Lead AI Graphics Engineer
As a Lead AI Graphics Engineer, you will not merely be working with AI but also with machine learning. A Lead AI Graphics Engineer has the unique opportunity to be innovative at the intersection of AI technologies and advanced graphics. On average, they earn about $179,882, ranging from $163,876 to $201,250.
A Lead AI Graphics Engineer plays a crucial role in coming up with effective solutions that integrate and manipulate the 3D geometry phenomenon, including wearables, avatars, and more. They are significant contributors to the ideas of digital identity and expression.
They have a deep understanding of 3D graphics, excel at prototyping, debugging, and building research-guided tools, and translate research paper content into revolutionizing creative technologies.
Principal AI Engineer
A Principal AI Engineer develops and designs scalable solutions with AI tools and other machine-learning models. The professional is also expected to perform research and test machine-learning algorithms along with predictive models. They earn anything between $131,735 to $170,973 annually.
Apart from being well aware of AI, the Principal AI Engineer must also know how to utilize large amounts of data and use storage tools for creating datasets and prototypes. They also test, integrate, monitor, and tune different sets of information.
Proficient with programming languages such as Java and Python, a Principal AI Engineer works well with various frameworks like TensorFlow, Spark, and sciket-learn. To secure this position, candidates must have a master’s degree in mathematics, computer science, engineering, or an equivalent field.
AI Machine Learning Engineer
AI Machine Learning Engineers are the chief players of the data science team. Their routine tasks involve building, researching, and creating artificial intelligence tools that aid in machine learning. They help design, maintain, and impeccably run machine learning models. The AI Machine Learning Engineers earn about $150,578 yearly.
The AI Machine Learning Engineer takes the lead in effective communication between the data science teams, often working side by side with the research scientists. As one crew, they develop AI system models and related tools. They have the following duties:
- Performing statistical evaluations
- Executing machine-learning algorithms
- Developing and designing machine-learning systems
- Conducting AI systems tests and experiments
AI Developer
An AI Developer builds and improves AI functionality, turning it into software applications. They are among the initial responders of AI software business challenges and excel at designing, creating, and executing AI monitor systems.
An AI Developer does not shy away from explaining the AI system to stakeholders and project managers since, frequently, they are the ones who have developed the product from scratch. Their other duties include data ingestion and transformation, staying updated regarding the latest AI technologies, and training team members on AI implementation.
Lastly, AI Developers are mostly familiar with programming languages such as Python, Google Assistant, cloud platforms, and profiling and analytical tools. They make about $129,348 a year.
Frequently Asked Questions
What are AI jobs?
There are several AI jobs that one can opt for, including the following:
- Machine learning engineer
- Data scientist
- Business intelligence developer
- Research scientist
- Software engineer
- Data analyst
Is artificial intelligence a good career?
With the concept of artificial intelligence becoming increasingly popular, it is a good and stable career with a wide array of jobs. Most AI enthusiasts opt for careers in AI research, AI marketing, AI product management, robotic science, and more.
How do I start an AI career?
If you have decided on AI as a career, getting a bachelor’s degree in fields such as data science, computer science, or AI itself is essential. Furthermore, candidates must attend language learning programs, excel at mathematics, and have clear machine-learning concepts. Getting certifications for relevant AI courses helps make your resume stronger.
What is the salary of an AI engineer?
An AI engineer typically earns $136,620 annually. However, please keep in mind the average salary is highly dependent on the candidate’s expertise, country of work, and extent of active role.
Is AI a high-paying job?
AI professionals, including engineers and research scientists, earn good salaries with an average annual income of $100,000. However, the pay is mainly dependent on the nature of the job, country, and active role in the organization.
What degree is required for AI?
Apart from completing education until the 12th grade, you need a bachelor’s degree in a field related to artificial intelligence, such as information technology (IT), statistics, computer science, and data science. An optional degree is a Master’s degree in disciplines like mathematics, data science, computer science, and cognitive science. For a stronger resume, enroll in AI-related courses.
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